Providing biological context for <scp>GWAS</scp> results using <scp>eQTL</scp> regulatory and co‐expression networks in <i>Populus</i>

Our study utilized genome-wide association studies (GWAS) to link nucleotide variants to traits in Populus trichocarpa, a species with rapid linkage disequilibrium decay. The aim was to overcome the challenge of interpreting statistical associations at individual loci without sufficient biological context, which often leads to reliance solely on gene annotations from unrelated model organisms. We employed an integrative approach that included GWAS targeting multiple traits using three individual techniques for lignocellulose phenotyping, expression quantitative trait loci (eQTL) analysis to construct transcriptional regulatory networks around each candidate locus and co-expression analysis to provide biological context for these networks, using lignocellulose biosynthesis in Populus trichocarpa as a case study. The research identified three candidate genes potentially involved in lignocellulose formation, including one previously recognized gene (Potri.005G116800/VND1, a critical regulator of secondary cell wall formation) and two genes (Potri.012G130000/AtSAP9 and Potri.004G202900/BIC1) with newly identified putative roles in lignocellulose biosynthesis. Our integrative approach offers a framework for providing biological context to loci associated with trait variation, facilitating the discovery of new genes and regulatory networks.

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Publication Details

Journal
New Phytologist
Published
2024-08-21
DOI
https://doi.org/10.1111/nph.20026
Citations
7
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
3.85

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article

Providing biological context for GWAS results using eQTL regulatory and co‐expression networks in Populus

Anne E. Harman‐Ware, Arthur J. Ragauskas, Nathan Bryant, Mengjun Shu et al.
7 citations
New Phytologist
Genetic Mapping and Diversity in Plants and Animals
3.85
article

Providing biological context for GWAS results using eQTL regulatory and co‐expression networks in Populus

Anne E. Harman‐Ware, Arthur J. Ragauskas, Nathan Bryant, Mengjun Shu, Renee M. Happs, Gerald A. Tuskan, Jin‐Gui Chen, Sara Jawdy, Timothy B. Yates, Wellington Muchero, Cai John
article en
7 citations

Abstract

Our study utilized genome-wide association studies (GWAS) to link nucleotide variants to traits in Populus trichocarpa, a species with rapid linkage disequilibrium decay. The aim was to overcome the challenge of interpreting statistical associations at individual loci without sufficient biological context, which often leads to reliance solely on gene annotations from unrelated model organisms. We employed an integrative approach that included GWAS targeting multiple traits using three individual techniques for lignocellulose phenotyping, expression quantitative trait loci (eQTL) analysis to construct transcriptional regulatory networks around each candidate locus and co-expression analysis to provide biological context for these networks, using lignocellulose biosynthesis in Populus trichocarpa as a case study. The research identified three candidate genes potentially involved in lignocellulose formation, including one previously recognized gene (Potri.005G116800/VND1, a critical regulator of secondary cell wall formation) and two genes (Potri.012G130000/AtSAP9 and Potri.004G202900/BIC1) with newly identified putative roles in lignocellulose biosynthesis. Our integrative approach offers a framework for providing biological context to loci associated with trait variation, facilitating the discovery of new genes and regulatory networks.

New PhytologistVol. 244(2)
Oak Ridge National Laboratory (US), National Laboratory of the Rockies (US), University of Tennessee at Knoxville (US)
U.S. Department of Energy, Battelle, Joint Genome Institute, UT-Battelle, Office of Science, Biological and Environmental Research, Center for Bioenergy Innovation, Oak Ridge National Laboratory
Life in Land
Openalex Percentile: Top 6%
Genetic Mapping and Diversity in Plants and Animals
3.85
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